MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641091356 A) filed by Psna College Of Engineering And Technology on July 28, 2026, for Food Soilage Detection System Using Multi Sensor Techniques For Bakery.
Inventors include Dr. S. Pavalarajan; P. S. Abarna; S. Padma Priya; K. Masana Muthukumar; and P. T. Balaji.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: Food spoilage is a major reason for food waste and health risks, requiring reliable freshness 10 monitoring methods. This project presents a Food Spoilage Detection System Employing Multi- Sensor Fusion Techniques for real-time assessment of food quality. The system integrates an MQ- 135 gas sensor, infrared temperature sensor, multispectral sensor, UV illumination module, and ESP32-CAM to monitor spoilage indicators such as VOC emissions, temperature changes, moisture variation, and mold growth. An ESP32 microcontroller collects and processes the sensor data to 15 identify the freshness status of food products. By providing accurate and automated freshness evaluation, the proposed system helps improve food safety and reduce food wastage. COMMENTS: The proposed Food Spoilage Detection System Employing Multi-Sensor Fusion Techniques provides a more reliable food freshness assessment by combining gas sensing, thermal monitoring, multispectral analysis, and vision-based inspection. Unlike regular systems that rely on a 20 single parameter, the invention simultaneously monitors multiple spoilage indicators, improving detection accuracy. The system enables real-time freshness classification and shelf-life prediction using an ESP32-based platform, helping reduce food waste and enhance food safety in households, bakeries, restaurants, and food storage facilities. The present invention relates to an intelligent food spoilage detection system employing multisensor fusion techniques to identify early stages of food deterioration. The system integrates gas sensors, temperature sensors, and visual data captured using a camera module, all interfaced with a microcontroller unit. Sensor data is continuously monitored and processed using a spoilage assessment algorithm to determine food freshness levels. The invention provides real-time feedback through a display module, enabling timely identification of spoiled food and reducing health risks. Unlike conventional single-parameter detection methods, the proposed system combines multiple indicators to improve accuracy and reliability. The invention is low-cost, scalable, and suitable for domestic, commercial, and industrial food storage environments. The system enhances food safety, minimizes wastage, and supports automated monitoring without human intervention.
Disclaimer: Curated by HT Syndication.
